Hi all, I'm using MPL to plot a 6 panel figure of 2d data using pcolormesh. I started this script last night, and found it consuming over 3GB of memory when I got in this morning. After reading through old posts to this list, I came across this suggestion:
http://sourceforge.net/mailarchive/forum.php?thread_name=47558A63.8050307%40cornell.edu&forum_name=matplotlib-users ...to use gc.collect(), unfortunately this does not solve my problem...after implementing it, my script is now at nearly 800MB within 15 minutes of running. I am looping this over several thousand data files. I am using MPL - 0.92.2, numpy - 1.0.1, and the Agg backend, and running in non-interactive mode on a Fedora Linux box with Python 2.4. MPL and numpy were installed from source rather than the distribution. Following the suggestion to track down memory-leaks, the cbook.print_cycles( gc.garbage) call returns None at every iteration of the loop. However, using the comparison of original objects ( gc.get_objects() ) to new objects created after the first loop iteration, there are a lot of new objects present. I've included a copy of the script in an attachment (slicer.py). Any help would be great, thanks! -- Aaron Botnick
slicer.py
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